1. Upload a sample
Start with digital pdfs, scans, and documents with changing layouts and create a dedicated Box.
AI PDF parser
Parse PDF Documents Into a Schema You Control
Define the fields your system expects, process related PDFs, and turn each file into a consistent structured record.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
String fields
Captured value
Numeric values
Captured value
Dates
Captured value
Identifiers
Captured value
Boolean states
3 rows extracted
Input
digital PDFs, scans, and documents with changing layouts
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
schema-aligned fields and arrays for files or application workflows
How it works
What makes an AI PDF parser different
Traditional parsers depend on coordinates, regular expressions, or fixed templates. They can work well until a supplier moves a field, a table wraps to a new page, or a scanned document replaces a digital PDF.
An AI PDF parser uses the meaning of labels and surrounding content to locate values. Parsinto adds editable field definitions, table extraction, batch processing, and review so the output stays useful when document layouts vary.
Configurable schema
Extract the fields your workflow needs
Start with AI-suggested fields, then edit the names and table columns so the output matches your process.
String fields
Numeric values
Dates
Identifiers
Boolean states
Nested line items
Transaction arrays
Custom business fields
Three steps
From source document to structured output
2. Define and extract
Use suggested fields or edit the schema, then process related documents in a batch.
3. Review and export
Check the extracted values and download schema-aligned fields and arrays for files or application workflows.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Developers
Produce predictable JSON records for internal tools without maintaining a parser per document layout.
Operations teams
Convert recurring PDFs into a shared schema before importing them into another system.
Automation agencies
Create client-specific extraction structures and export results in integration-friendly formats.
Evaluation checklist
What to check before you scale
Schema is editable before batch processing
Tables export as repeating records
Scans are read with OCR
Results can be reviewed before integration
Why teams use Parsinto
Configurable output
Name the fields and table columns around your own process.
Digital PDFs and scans
Use OCR only when needed while keeping one extraction workflow.
Review before handoff
Inspect extracted values before they reach another person or system.
Portable formats
Export CSV, Excel, JSON, or PDF instead of locking data into one destination.
FAQ
Questions about PDF parser
Can Parsinto parse PDFs into JSON?+
Yes. Named fields and table rows can be exported as structured JSON after review.
Do I need to code parsing rules?+
No. You can define the fields in the interface and let AI locate them in each document.
Can a PDF parser handle different layouts?+
AI extraction is designed to locate semantically equivalent fields across layout variations, though reviewing representative samples remains a good practice.
Does it parse scanned PDFs?+
Yes. OCR reads the scan before the requested values are mapped into fields and tables.
Keep exploring
View all tools Related document workflows
Try PDF parser with your own document
Create a Box, upload a representative file, review the suggested fields, and see whether the output matches your workflow.
Start extracting free